Enterprise Architect - Data & Employee Systems (Databricks)

Architecture Design Design end-to-end data architecture for employee data (HR, payroll, benefits, performance, etc.) on Databricks, including data lakehouse structure, pipelines, and governance layers.

Policy & Standards Translation Convert company policy (e.g., data privacy, retention, access control) and industry standards (e.g., GDPR, SOC 2, HIPAA where relevant) into concrete technical architecture and data models.

Business Logic Implementation Partner with HR, Legal, and business stakeholders to encode business rules (eligibility, compensation logic, org hierarchy, etc.) directly into the data architecture.

Governance & Security Define data access controls, lineage tracking, and audit mechanisms using Databricks Unity Catalog or equivalent governance tools.

Platform Leadership Set best practices for Databricks usage across the organization - including Delta Lake, workflows, cluster management, and cost optimization.

Cross-Functional Collaboration Work with data engineers, security teams, HR systems owners, and compliance officers to ensure the architecture meets both technical and regulatory needs.

Documentation & Roadmap Maintain architecture diagrams, data dictionaries, and a roadmap for evolving the employee data platform.

Strong hands-on experience with Databricks (Delta Lake, Unity Catalog, Workflows, cluster/compute management)

Proven experience designing enterprise-level data architecture, ideally for HR/employee data or other sensitive datasets

Solid understanding of data governance, privacy regulations, and compliance standards

Ability to translate business and legal policy into technical specifications

Experience with data modeling (dimensional modeling, master data management)

Familiarity with cloud platforms (Azure, AWS, or GCP) since Databricks runs on top of these

Strong communication skills to work across technical and non-technical stakeholders (HR, Legal, IT, Compliance)